How to Use the Adafruit IO MCP in Cursor

Q: Can I use Cursor to inject real data from an Adafruit IO feed into my code?

Absolutely. Tell the agent to use listdata for a specific feed. It will fetch the live data, which you can then use to write and test your code.

Q: What's the fastest way to get Adafruit IO dashboard details inside Cursor?

Ask the agent to use the getdashboard tool with the dashboard's name. The configuration details will appear right in the chat.

Q: How does this MCP server help me manage groups and triggers?

You can have the agent listgroups to see how your feeds are organized or gettrigger to inspect the logic of your automations, all from your editor.

Pull live Adafruit IO data directly into your editor with Cursor and write code that works with your real IoT devices.

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Connect Adafruit IO MCP to Cursor

Create your Vinkius account to connect Adafruit IO to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Adafruit IO with Cursor

Ask AI about this MCP

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Claude

Perplexity

Code with Live Sensor Data

The `list_data` tool pulls real-time sensor readings from any Adafruit IO feed into your editor. Stop writing code against mock data. You can ask the Cursor agent to fetch the last 10 data points from your 'humidity-sensor' feed. The agent gets the actual JSON response. Then you can tell it to write the Python or JS code to parse it. Your code works with the real data structure from day one.

Scaffold Scripts with your Cursor Agent

This MCP server gives your agent awareness of your entire project. Ask it to `list_feeds` and `list_groups` to get an inventory of all your connected devices and their organization. With that context, you can tell Cursor: "Generate a Python script that iterates through all feeds in the 'greenhouse' group and alerts if the latest value is over 30." The agent already knows the feed names, so the script it generates is ready to run.

Inspect Dashboards for IaC

The `get_dashboard` tool lets your agent read the configuration of any existing dashboard. It's a great way to understand how a complex visualization is put together. You can use this to replicate or modify things. For example, "Show me the config for the 'main-overview' dashboard, then generate the Terraform code to create a new one with an extra chart." The agent uses the live config as a blueprint.

Setup guide

Set up Adafruit IO MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Adafruit IO MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Adafruit IO transactions." If the MCP tools are loaded correctly, Cursor will call the Adafruit IO tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "adafruit-io-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Adafruit IO MCP in Cursor

Just ask the agent, "list my Adafruit IO feeds." It uses the `list_feeds` tool from this MCP server to get a complete list for you.

Absolutely. Tell the agent to use `list_data` for a specific feed. It will fetch the live data, which you can then use to write and test your code.

Ask the agent to use the `get_dashboard` tool with the dashboard's name. The configuration details will appear right in the chat.

You can have the agent `list_groups` to see how your feeds are organized or `get_trigger` to inspect the logic of your automations, all from your editor.

The server has read-only access to your Adafruit IO metadata and data points. This includes feed names, dashboard layouts, group structures, and trigger logic. It cannot modify anything. Each Vinkius MCP endpoint is isolated and ephemeral, processing requests one by one.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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